Updated ModelDeployment docs.

Author: lu-ohai

docs/source/user_guide/model_deployment/access_a_model_deployment.rst

@@ -1,18 +1,13 @@
 Access a Model Deployment
 *************************
 
-When a model is deployed the ``.deploy()`` method of the ``ModelDeployer`` class will return a ``ModelDeployment`` object. This object can be used to interact with the actual model deployment. However, if the model has already been deployed, it is possible to obtain a ``ModelDeployment`` object. Use the ``.get_model_deployment()`` method when the model deployment OCID is known.
+When a model is deployed the ``.deploy()`` method of the ``ModelDeployment`` class will return an updated ``ModelDeployment`` object. This object can be used to interact with the actual model deployment. However, if the model has already been deployed, it is possible to obtain a ``ModelDeployment`` object. Use the ``.from_id()`` method when the model deployment OCID is known.
 
 The next code snippet creates a new ``ModelDeployment`` object that has access to the created model deployment.
 
 .. code-block:: python3
 
-    from ads.model.deployment import ModelDeployer
-
-    deployer = ModelDeployer()
-    existing_deployment = deployer.get_model_deployment(model_deployment_id="<MODEL_DEPLOYMENT_OCID>")
-
-
-
+    from ads.model.deployment import ModelDeployment
 
+    existing_deployment = ModelDeployment.from_id(id="<MODEL_DEPLOYMENT_OCID>")
 

docs/source/user_guide/model_deployment/attributes.rst

@@ -3,7 +3,7 @@ Attributes
 
 The ``ModelDeployment`` class has a number of attributes that are assigned by the system. They provide a mechanism to determine the state of the model deployment, the URI to make predictions, the model deployment OCID, etc.
 
-In the following code snippets, the variable ``deployment`` is a ``ModelDeployment`` object.  This object can be obtained from a call to ``.deploy()`` or ``.get_model_deployment()``.
+In the following code snippets, the variable ``deployment`` is a ``ModelDeployment`` object.  This object can be obtained from a call to ``.deploy()`` or ``.from_id()``.
 
 OCID
 ====
@@ -18,9 +18,9 @@ the OCID of the model deployment.
 State
 =====
 
-You can determine the state of the model deployment using the ``.current_state`` enum attribute of a ``ModelDeployment`` object.  This returns an enum object and the string value can be determined with ``.current_state.name``. It will have values like ‘ACTIVE’, ‘INACTIVE’, and ‘FAILED’.
+You can determine the state of the model deployment using the ``.current_state`` enum attribute of a ``ModelDeployment`` object.  This returns an enum object and the string value can be determined with ``.current_state.name``. It will have values like 'ACTIVE', 'INACTIVE', and 'FAILED'.
 
-In the following code snippets, the variable ``deployment`` is a ``ModelDeployment`` object.  This object can be obtained from a call to ``.deploy()`` or ``.get_model_deployment()``.
+In the following code snippets, the variable ``deployment`` is a ``ModelDeployment`` object.  This object can be obtained from a call to ``.deploy()`` or ``.from_id()``.
 
 .. code-block:: python3
 

docs/source/user_guide/model_deployment/delete.rst

@@ -1,30 +1,13 @@
 Delete
 ******
 
-A model deployment can be deleted using a ``ModelDeployer`` or ``ModelDeployment`` objects.
+A model deployment can be deleted using a ``ModelDeployment`` objects.
 
 When a model deployment is deleted, it deletes the load balancer instances associated with it. However, it doesn't delete other resources like log group, log, or model.
 
-
-``ModelDeployer``
-=================
-
-The ``ModelDeployer`` instance has a ``.delete()`` method for deleting a model deployment when give its OCID. 
-
-.. code-block:: python3
-
-   from ads.model.deployment import ModelDeployer
-
-   deployer = ModelDeployer()
-   deployer.delete(model_deployment_id=deployment_id)
-
-
-``ModelDeployment``
-===================
-
 If you have a ``ModelDeployment`` object, you can use the ``.delete()`` method to delete the model that is associated with that object. The optional ``wait_for_completion`` parameter accepts a Boolean and determines if the process is blocking or not. 
 
-In the following code snippets, the variable ``deployment`` is a ``ModelDeployment`` object.  This object can be obtained from a call to ``.deploy()`` or ``.get_model_deployment()``.
+In the following code snippets, the variable ``deployment`` is a ``ModelDeployment`` object.  This object can be obtained from a call to ``.deploy()`` or ``.from_id()``.
 
 .. code-block:: python3